The Brexit Botnet and User-Generated Hyperpartisan News

被引:200
作者
Bastos, Marco T. [1 ]
Mercea, Dan [2 ]
机构
[1] City Univ London, Media & Commun, London, England
[2] City Univ London, Dept Sociol, London, England
关键词
Brexit; Twitter; fake news; sock puppets; retweets cascades; political bots; POLITICS;
D O I
10.1177/0894439317734157
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this article, we uncover a network of Twitterbots comprising 13,493 accounts that tweeted the United Kingdom European Union membership referendum, only to disappear from Twitter shortly after the ballot. We compare active users to this set of political bots with respect to temporal tweeting behavior, the size and speed of retweet cascades, and the composition of their retweet cascades (user-to-bot vs. bot-to-bot) to evidence strategies for bot deployment. Our results move forward the analysis of political bots by showing that Twitterbots can be effective at rapidly generating small- to medium-sized cascades; that the retweeted content comprises user-generated hyperpartisan news, which is not strictly fake news, but whose shelf life is remarkably short; and, finally, that a botnet may be organized in specialized tiers or clusters dedicated to replicating either active users or content generated by other bots.
引用
收藏
页码:38 / 54
页数:17
相关论文
共 51 条
[1]  
Abokhodair N., 2015, 18 ACM C COMP SUPP C
[2]  
[Anonymous], 2016, 1 MONDAY
[3]  
[Anonymous], INT J COMMUNICATION
[4]  
[Anonymous], 2016, TELEGRAPH
[5]  
[Anonymous], 2011, 4 ACM INT C WEB SEAR
[6]  
[Anonymous], P 26 INT C WORLD WID
[7]  
[Anonymous], 2011, P INT AAAI C WEB SOC
[8]  
[Anonymous], 2016, 1 MONDAY
[9]   Cyborg activism: Exploring the reconfigurations of democratic subjectivity in Anonymous [J].
Asenbaum, Hans .
NEW MEDIA & SOCIETY, 2018, 20 (04) :1543-1563
[10]  
Asthana Anushka., 2016, The Guardian